->This repository contains a machine learning model for detecting distracted drivers.
->The model utilizes various transfer learning techniques to to maximize the accuracy.
->Evaluate the model's performance using metrics such as accuracy, precision, recall, and F1 score. Visualize results and compare performance across different algorithms.
->The models used: VGG 19 ResNet105 InceptionResNetV2 MobileNetv2 DenseNet201
-> The highest accuracy was acheived in DenseNet201 model.